Generation of long-term InSAR ground displacement time-series through a novel multi-sensor data merging technique: The case study of the Shanghai coastal area-Reference-Cited by-同舟云学术

Generation of long-term InSAR ground displacement time-series through a novel multi-sensor data merging technique: The case study of the Shanghai coastal area

Published:2019-08 Issue: Volume:154 Page:10-27
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Zhao Qing,Ma Guanyu,Wang Qiang,Yang Tianliang,Liu Min,Gao Wei,Falabella Francesco,Mastro Pietro,Pepe Antonio^ORCID

Funder

The National Key Research and Development Program of China

NSF of China

Shanghai Municipality Research Grants of Science and Technology Commission

Key Laboratory of Land Subsidence Monitoring and Prevention

Key Laboratory of Geographic Information Science

East China Normal University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

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